Business Development Executive - Data & Ai

Discover the heartbeat of SoftwareOne! Our 7 core values aren't just words – they're the beating heart of our company culture. Join us in a journey that unveils the essence of how we work, connect, and succeed. Watch the video to feel the values shaping our everyday interactions, customer relations, and team spirit.

Please note that SoftwareOne does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement (Job-Specific per our global standard) with the agency/recruiter, SoftwareOne will not consider or agree to payment of any referral compensation or recruiter fee.

Position Purpose

This role is instrumental in helping SoftwareOne build, develop, and grow its Data & AI practice across ANZ. The successful candidate will act as a trusted partner to our Account Executives (AEs), enabling them to identify, shape, and progress Data & AI opportunities within key accounts, while also driving new business growth. With a strong focus on Agentic AI solutions, this role will lead the adoption of build-and-buy sales plays for intelligent agents across multiple solutions, positioning SoftwareOne at the forefront of the Data & AI market.

Why Join SoftwareOne?

At SoftwareOne, we are driving innovation in the Data & AI space, helping our customers accelerate transformation and unlock new business models. This role provides the opportunity to be at the centre of that journey, shaping the future of our Data & AI practice in ANZ while delivering measurable impact for our customers and business.

Location

Melbourne or Sydney

Key Responsibilities

• Partner with Account Executives to uncover and qualify Data & AI opportunities across SoftwareOne’s top accounts.

• Drive net-new customer engagement by prospecting and shaping Data & AI discussions that lead to measurable business outcomes.

• Lead with Agentic AI solutions as a cornerstone of customer conversations, applying build-and-buy sales plays across multiple solution areas.

• Educate, enable, and influence AEs to confidently position SoftwareOne’s Data & AI offerings in customer discussions.

• Act as a thought leader and trusted advisor, demonstrating how Data & AI can unlock value, accelerate transformation, and support long-term customer strategy.

• Contribute to the growth of the ANZ Data & AI practice by building pipeline, supporting account planning, and driving execution against regional targets.

• Leverage hyperscaler-funded programs, co-sell opportunities, and ecosystem partnerships to accelerate adoption and deal velocity.

• Deliver clear and compelling proposals, commercial models, and service outlines tailored to customer use cases and expected outcomes.

• Provide internal feedback to improve portfolio relevance, delivery execution, and partner alignment.

• Existing full-time work rights in Australia.

• Ability to commute to our office and visit customers in Melbourne or Sydney.

• Excellent interpersonal and collaboration skills, with the ability to influence across internal and external stakeholders.

• A naturally curious mindset, with a strong desire to understand emerging technologies, customer challenges, and how innovation in Data & AI can drive business value.

Technical and Sales Qualifications

• Proven experience in selling Agentic AI solutions is essential, with the ability to drive build-and-buy sales plays for intelligent agents across multiple solutions.

• Strong track record of partnering with enterprise Account Executives to identify, shape, and close opportunities.

• Demonstrated success in building pipeline and driving net-new business within Data & AI solution areas.

• Deep understanding of how Data & AI can solve real-world business challenges across various industries.

• Able to translate complex technical topics such as data lakehouse architectures, LLM deployments, or machine learning pipelines into commercially relevant conversations.

• Proven ability to lead complex, multi-party sales engagements across both IT and line-of-business (LOB) stakeholders.

• Familiarity with hyperscaler-native and third-party platforms including Azure Synapse, AWS Redshift, GCP BigQuery, Power BI, Tableau, Databricks, Snowflake, etc.

• Understanding of the AI/ML lifecycle, including model development, deployment, governance, and ethical considerations.

• Strong understanding of cloud economics and how to structure service offerings around platform spend and customer ROI.

• Experience selling advisory, professional, and managed services, including data strategy, platform modernisation, data governance, and AI roadmap execution.

• Excellent written and verbal communication skills, with the ability to present confidently to C-suite and technical stakeholders alike.

• Experience with opportunity management, CRM discipline, and pipeline development practices.

Desirable

• Experience working in or alongside data engineering, analytics, or AI teams.

• Understanding of data privacy frameworks and AI governance (e.g., ISO, GDPR, Responsible AI).

• Previous exposure to building Go-To-Market offerings or co-sell motions with partners.